A framework for privacy information protection on Android. - Peng Jia 005; Xiang He; Liang Liu 009; Binjie Gu; Yong Fang 002 (ICNC, 2015)

A New Static Detection Method of Malicious Document Based on Wavelet Package Analysis. - Binjie Gu; Yong Fang 002; Peng Jia 005; Liang Liu 009; Lei Zhang 101; Meilin Wang (IIH-MSP, 2015)

Crash可利用性分析方法研究综述 (Review of Crash Exploitability Analysis Methods). - Jing Zhang; Anmin Zhou; Liang Liu 009; Peng Jia 005; Luping Liu (计算机科学, 2018)

Fuzzing the Android Applications With HTTP/HTTPS Network Data. - Xinyue Huang; Anmin Zhou; Peng Jia 005; Luping Liu; Liang Liu 009 (IEEE Access, 2019)

InsFuzz: Fuzzing Binaries With Location Sensitivity. - Hanfang Zhang; Anmin Zhou; Peng Jia 005; Luping Liu; Jinxin Ma; Liang Liu 009 (IEEE Access, 2019)

A systematic review of fuzzing based on machine learning techniques. - Yan Wang; Peng Jia 005; Luping Liu; Jiayong Liu (CoRR, 2019)

Session-Based Webshell Detection Using Machine Learning in Web Logs. - Yixin Wu 001; Yuqiang Sun 001; Cheng Huang 003; Peng Jia 005; Luping Liu (Secur. Commun. Networks, 2019)

A Neural Network-Based Approach for Cryptographic Function Detection in Malware. - Li Jia; Anmin Zhou; Peng Jia 005; Luping Liu; Yan Wang; Liang Liu 009 (IEEE Access, 2020)

A Machine Learning Based Framework for Identifying Influential Nodes in Complex Networks. - Gouheng Zhao; Peng Jia 005; Cheng Huang 003; Anmin Zhou; Yong Fang 002 (IEEE Access, 2020)

InfGCN: Identifying influential nodes in complex networks with graph convolutional networks. - Gouheng Zhao; Peng Jia 005; Anmin Zhou; Bing Zhang (Neurocomputing, 2020)

SPCTR: Sealed Auction-Based Procurement for Closest Pre-Tender with Range Validation. - Li Li; Jiayong Liu; Peng Jia 005 (Secur. Commun. Networks, 2020)

SecTEP: Enabling secure tender evaluation with sealed prices and quality evaluation in procurement bidding systems over blockchain. - Li Li; Jiayong Liu; Peng Jia 005 (Comput. Secur., 2021)

Learning-Based Detection for Malicious Android Application Using Code Vectorization. - Lin Liu; Wang Ren; Feng Xie; Shengwei Yi; Junkai Yi; Peng Jia 005 (Secur. Commun. Networks, 2021)

Embedding vector generation based on function call graph for effective malware detection and classification. - Xiao-Wang Wu; Yan Wang; Yong Fang 002; Peng Jia 005 (Neural Comput. Appl., 2022)

BinVulDet: Detecting vulnerability in binary program via decompiled pseudo code and BiLSTM-attention. - Yan Wang; Peng Jia 005; Xi Peng; Cheng Huang 003; Jiayong Liu (Comput. Secur., 2023)

Identify influential nodes in social networks with graph multi-head attention regression model. - Jiangheng Kou; Peng Jia 005; Jiayong Liu; Jinqiao Dai; Hairu Luo (Neurocomputing, 2023)

SRFA-GRL: Predicting group influence in social networks with graph representation learning. - Peng Jia 005; Jiangheng Kou; Jiayong Liu; Jinqiao Dai; Hairu Luo (Inf. Sci., 2023)

Reinforcement learning for few-shot text generation adaptation. - Pengsen Cheng; Jinqiao Dai; Jiamiao Liu; Jiayong Liu; Peng Jia 005 (Neurocomputing, 2023)

ENZZ: Effective N-gram coverage assisted fuzzing with nearest neighboring branch estimation. - Xi Peng; Peng Jia 005; Ximing Fan; Jiayong Liu (Inf. Softw. Technol., 2025)